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Titlebook: Leadership and Uncertainty Management in Politics; Leaders, Followers a Agnès Alexandre-Collier (Professor of British Stud Book 2015 The Ed

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楼主: FORGE
发表于 2025-3-23 09:54:40 | 显示全部楼层
Alix Meyerhat, to some extent, this may relate to their experience of the automated system and exposure to the operator task. Future, more robust, research is recommended to better understand the workload demand and implications on vehicle design and training.
发表于 2025-3-23 16:54:04 | 显示全部楼层
Pauline Schnapperiation as a valid indicator for monotone or fatigue-causing work in real working conditions. The indicator was developed in different studies such as long-haul flights, manufacturing and computer-based training. This paper will outline the methodology and key results of the studies.
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Gilles Leydiergroup comparisons of small sample size, often the case in higher educational settings. This suggests that future scholars should dedicate effort on the identification and application of statistical methods for the analysis of the efficiency of instructional conditions in small sample-size groups.
发表于 2025-3-24 00:55:03 | 显示全部楼层
Julia Heinemann Ego is based on realism and cooperative thoughts. On the one hand, technical and non-technical skills – expertise components – are specifically supported by Crew Resource Management (CRM), on the other hand military pilots’ family relationships animate subjective perceptions during flight performan
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Nicolas Bonnetgroup comparisons of small sample size, often the case in higher educational settings. This suggests that future scholars should dedicate effort on the identification and application of statistical methods for the analysis of the efficiency of instructional conditions in small sample-size groups.
发表于 2025-3-24 07:53:37 | 显示全部楼层
Alex Frame,Gilles Brachotten be automated and do not need any human intervention, namely a high-pass filter, the ADJUST algorithm, and a re-referencing. Using a publicly available mental workload dataset, STEW, we investigate the effect of these preprocessing techniques in three state-of-the-art deep learning models named Sta
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